Spatiotemporal Data Fusion in Graph Convolutional Networks for Traffic Prediction
نویسندگان
چکیده
منابع مشابه
Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks
Predicting large-scale transportation network traffic has become an important and challenging topic in recent decades. Inspired by the domain knowledge of motion prediction, in which the future motion of an object can be predicted based on previous scenes, we propose a network grid representation method that can retain the fine-scale structure of a transportation network. Network-wide traffic s...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.2989443